Articles | Volume 20, issue 14
https://doi.org/10.5194/bg-20-2941-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-20-2941-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Reviews and syntheses
| 
21 Jul 2023
Reviews and syntheses |
| 21 Jul 2023
| 21 Jul 2023
Reviews and syntheses: Recent advances in microwave remote sensing in support of terrestrial carbon cycle science in Arctic–boreal regions
Alex Mavrovic
CORRESPONDING AUTHOR
Département des sciences de l'environnement, Université du Québec à Trois-Rivières,
Trois-Rivières, Quebec, Canada
Centre d'Études Nordiques, Université Laval, Québec,
Quebec, Canada
Canadian High Arctic Research Station Campus, Polar Knowledge Canada, Cambridge Bay, Nunavut, Canada
Département de géographie, Université de Montréal, Montréal, Quebec, Canada
Oliver Sonnentag
Centre d'Études Nordiques, Université Laval, Québec,
Quebec, Canada
Département de géographie, Université de Montréal, Montréal, Quebec, Canada
Juha Lemmetyinen
Finnish Meteorological Institute, Helsinki, Finland
Jennifer L. Baltzer
Biology Department, Wilfrid Laurier University, Waterloo, Ontario,
Canada
Christophe Kinnard
Département des sciences de l'environnement, Université du Québec à Trois-Rivières,
Trois-Rivières, Quebec, Canada
Centre d'Études Nordiques, Université Laval, Québec,
Quebec, Canada
Alexandre Roy
Département des sciences de l'environnement, Université du Québec à Trois-Rivières,
Trois-Rivières, Quebec, Canada
Centre d'Études Nordiques, Université Laval, Québec,
Quebec, Canada
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Cited
18 citations as recorded by crossref.
- State of the Art in Monitoring Methane Emissions from Arctic–boreal Wetlands and Lakes M. Mahdianpari et al.
- Research Progress of Plant Available Carbon in the Earth's Carbon Cycle X. Sun et al.
- Quantification and Correction of SMAP Soil Moisture Retrieval Biases Induced by Subpixel Moisture and Texture Heterogeneity Over China P. Song et al.
- OpenForest: a data catalog for machine learning in forest monitoring A. Ouaknine et al.
- Assessing the SMAP Level-4 Carbon Product Over the Arctic and Subarctic Zones R. Madelon et al.
- Retrieval Methods for Microwave Remote Sensing of Soil Moisture, Above-Ground Biomass, and Freeze-Thaw Dynamics: A review A. Veneri et al.
- Estimating and Downscaling ESA-CCI Soil Moisture Using Multi-Source Remote Sensing Images and Stacking-Based Ensemble Learning Algorithms in the Shandian River Basin, China L. Wang & Y. Gao
- Estimation of tree attributes in mixed tropical hill forests using Landsat-8 and Sentinel-1 data A. Khan et al.
- Near Real‐Time Mapping of All‐Sky Land Surface Temperature From GOES‐R Using Machine Learning S. Ranjbar et al.
- Assessment of L-Band Passive Microwave Soil Moisture Retrievals Against In Situ Measurements in the North American Boreal Biome A. Gorrab et al.
- Local-Scale Probabilistic Mapping of Spring Thaw Progression in Interior Alaska Using Satellite Radar and Physics-Augmented Deep Learning J. Du et al.
- Satellite Microwave Radiometry for the Observation of Land Surfaces: A General Review C. Vittucci & M. Picchiani
- Deep learning estimation of northern hemisphere soil freeze-thaw dynamics using satellite multi-frequency microwave brightness temperature observations K. Donahue et al.
- Leveraging Transfer Learning and U-Nets Method for Improved Gap Filling in Himawari Sea Surface Temperature Data Adjacent to Taiwan D. Putra & P. Hsu
- Integrating surface-based in-situ and satellite observations to characterize CO2 and CH4 emission hotspots in Houston, USA I. Karim & B. Rappenglück
- Drought-wildfire synergy drives carbon-source transition and amplifies carbon budget uncertainty of boreal forests in Northeast China S. Li et al.
- How precipitation phase affects the accuracy of IMERG satellite precipitation products in mainland China? Y. Wang et al.
- Mapping of lakes and heave mounds in the Arctic using synthetic aperture radar and interferometric synthetic aperture radar data with deep learning technologies A. Yuriev et al.
18 citations as recorded by crossref.
- State of the Art in Monitoring Methane Emissions from Arctic–boreal Wetlands and Lakes M. Mahdianpari et al.
- Research Progress of Plant Available Carbon in the Earth's Carbon Cycle X. Sun et al.
- Quantification and Correction of SMAP Soil Moisture Retrieval Biases Induced by Subpixel Moisture and Texture Heterogeneity Over China P. Song et al.
- OpenForest: a data catalog for machine learning in forest monitoring A. Ouaknine et al.
- Assessing the SMAP Level-4 Carbon Product Over the Arctic and Subarctic Zones R. Madelon et al.
- Retrieval Methods for Microwave Remote Sensing of Soil Moisture, Above-Ground Biomass, and Freeze-Thaw Dynamics: A review A. Veneri et al.
- Estimating and Downscaling ESA-CCI Soil Moisture Using Multi-Source Remote Sensing Images and Stacking-Based Ensemble Learning Algorithms in the Shandian River Basin, China L. Wang & Y. Gao
- Estimation of tree attributes in mixed tropical hill forests using Landsat-8 and Sentinel-1 data A. Khan et al.
- Near Real‐Time Mapping of All‐Sky Land Surface Temperature From GOES‐R Using Machine Learning S. Ranjbar et al.
- Assessment of L-Band Passive Microwave Soil Moisture Retrievals Against In Situ Measurements in the North American Boreal Biome A. Gorrab et al.
- Local-Scale Probabilistic Mapping of Spring Thaw Progression in Interior Alaska Using Satellite Radar and Physics-Augmented Deep Learning J. Du et al.
- Satellite Microwave Radiometry for the Observation of Land Surfaces: A General Review C. Vittucci & M. Picchiani
- Deep learning estimation of northern hemisphere soil freeze-thaw dynamics using satellite multi-frequency microwave brightness temperature observations K. Donahue et al.
- Leveraging Transfer Learning and U-Nets Method for Improved Gap Filling in Himawari Sea Surface Temperature Data Adjacent to Taiwan D. Putra & P. Hsu
- Integrating surface-based in-situ and satellite observations to characterize CO2 and CH4 emission hotspots in Houston, USA I. Karim & B. Rappenglück
- Drought-wildfire synergy drives carbon-source transition and amplifies carbon budget uncertainty of boreal forests in Northeast China S. Li et al.
- How precipitation phase affects the accuracy of IMERG satellite precipitation products in mainland China? Y. Wang et al.
- Mapping of lakes and heave mounds in the Arctic using synthetic aperture radar and interferometric synthetic aperture radar data with deep learning technologies A. Yuriev et al.
Saved (final revised paper)
Latest update: 30 Apr 2026
Short summary
This review supports the integration of microwave spaceborne information into carbon cycle science for Arctic–boreal regions. The microwave data record spans multiple decades with frequent global observations of soil moisture and temperature, surface freeze–thaw cycles, vegetation water storage, snowpack properties, and land cover. This record holds substantial unexploited potential to better understand carbon cycle processes.
This review supports the integration of microwave spaceborne information into carbon cycle...
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